#125 fixed model generation with new pygeppetto

Author: filippomc

netpyne_ui/netpyne_geppetto.py

@@ -98,7 +98,7 @@ def simulateNetPyNEModelInGeppetto(self, args):
                     logging.debug('Running single thread simulation')
                     netpyne_model = self.simulateNetPyNEModel()
 
-                return json.loads(GeppettoModelSerializer().serialize(self.geppetto_model))
+                return json.loads(GeppettoModelSerializer.serialize(self.geppetto_model))
         except:
             return utils.getJSONError("Error while simulating the NetPyNE model", sys.exc_info())
 

netpyne_ui/netpyne_model_interpreter.py

@@ -18,6 +18,7 @@ def getGeppettoModel(self, netpyne_model):
 
         # We create a GeppettoModel instance and we set a name a assign a lib
         geppetto_model = self.factory.createGeppettoModel('NetPyNEModel')
+        self.factory.geppetto_common_library = geppetto_model.libraries[0]
         netpyne_geppetto_library = pygeppetto.GeppettoLibrary(
             name='netpynelib')
         geppetto_model.libraries.append(netpyne_geppetto_library)
@@ -44,6 +45,7 @@ def extractPopulations(self, netpyne_model, netpyne_geppetto_library, geppetto_m
                     composite_id = cell['tags']['pop'] + "_cell"
 
                 cellType = pygeppetto.CompositeType(id=str(composite_id), name=str(composite_id), abstract= False)
+
                 visualType = pygeppetto.CompositeVisualType(id='cellMorphology', name='cellMorphology')
                 cellType.visualType = visualType
                 defaultValue = ArrayValue(elements=[])